Hi, thanks for your scripts, this anime-segmentation one seems very usefull, but I'm geting this error, do you have a idea of why?
Traceback (most recent call last):
File "C:\Users\Marcus\Documents\Ferramentas\ComfyUI\ComfyUI\execution.py", line 174, in execute
executed += recursive_execute(self.server, prompt, self.outputs, x, extra_data)
File "C:\Users\Marcus\Documents\Ferramentas\ComfyUI\ComfyUI\execution.py", line 54, in recursive_execute
executed += recursive_execute(server, prompt, outputs, input_unique_id, extra_data)
File "C:\Users\Marcus\Documents\Ferramentas\ComfyUI\ComfyUI\execution.py", line 54, in recursive_execute
executed += recursive_execute(server, prompt, outputs, input_unique_id, extra_data)
File "C:\Users\Marcus\Documents\Ferramentas\ComfyUI\ComfyUI\execution.py", line 54, in recursive_execute
executed += recursive_execute(server, prompt, outputs, input_unique_id, extra_data)
[Previous line repeated 3 more times]
File "C:\Users\Marcus\Documents\Ferramentas\ComfyUI\ComfyUI\execution.py", line 63, in recursive_execute
outputs[unique_id] = getattr(obj, obj.FUNCTION)(**input_data_all)
File "C:\Users\Marcus\Documents\Ferramentas\ComfyUI\ComfyUI\custom_nodes\anime_segmentation.py", line 59, in segment
model = AnimeSegmentation.try_load(net, ckpt, device)
File "C:\Users\Marcus\Documents\Ferramentas\ComfyUI\ComfyUI\comfy_extras\anime_segmentation\train.py", line 72, in try_load
model.load_state_dict(state_dict)
File "C:\Users\Marcus\Documents\Ferramentas\ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for AnimeSegmentation:
Unexpected key(s) in state_dict: "gt_encoder.conv_in.conv.weight", "gt_encoder.conv_in.conv.bias", "gt_encoder.conv_in.bn.weight", "gt_encoder.conv_in.bn.bias", "gt_encoder.conv_in.bn.running_mean", "gt_encoder.conv_in.bn.running_var", "gt_encoder.conv_in.bn.num_batches_tracked", "gt_encoder.stage1.rebnconvin.conv_s1.weight", "gt_encoder.stage1.rebnconvin.conv_s1.bias", "gt_encoder.stage1.rebnconvin.bn_s1.weight", "gt_encoder.stage1.rebnconvin.bn_s1.bias", "gt_encoder.stage1.rebnconvin.bn_s1.running_mean", "gt_encoder.stage1.rebnconvin.bn_s1.running_var", "gt_encoder.stage1.rebnconvin.bn_s1.num_batches_tracked", "gt_encoder.stage1.rebnconv1.conv_s1.weight", "gt_encoder.stage1.rebnconv1.conv_s1.bias", "gt_encoder.stage1.rebnconv1.bn_s1.weight", "gt_encoder.stage1.rebnconv1.bn_s1.bias", "gt_encoder.stage1.rebnconv1.bn_s1.running_mean", "gt_encoder.stage1.rebnconv1.bn_s1.running_var", "gt_encoder.stage1.rebnconv1.bn_s1.num_batches_tracked", "gt_encoder.stage1.rebnconv2.conv_s1.weight", 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